Observability in Your Hands: Analyze, Transform, and {Streamline Your Telemetry Data}
A first-class experience for a single pane of glass with end-to-end telemetry management to control your observability data and its costs.
A no-compromise Telemetry Warehouse. With the {control levers} it deserves.
Stop spending 10%-12% of your total cloud budget on observability.
No sampling, but backed by pre-ingestion workflows.
Don’t make tradeoffs between visibility and cost.
Ingestion
Shape telemetry data during ingestion, even before it is stored, without code changes or app redeployment.
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Tokens & Access Policies
Define guard rails for which data tiers do certain teams or query clients have access to. Eg: Alerting workloads should be served from the Blaze Tier only.
Streaming Aggregations
Transform incoming data to control cardinality explosion by defining aggregated queries on a metric. Derive new metrics with reduced cardinality for specific use cases.
Sensitive Information
Redact sensitive data from your telemetry data at time of ingestion, with pre-built templates for emails, phone numbers, and credit card numbers.
Filtering & Routing
Configure rules to forward without ingesting, drop, or extract and remap your telemetry data at runtime. Ingest only the data that you need.
Storage
Manage how your data, after the default retention periods, is stored and accessed.
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Cold Storage
Post default retention periods, retain your data on your own AWS S3 in a cost-effective manner, always accessible as needed.
Rehydration
With on-demand rehydration, your telemetry data is never far away. 24-hours of data gets rehydrated in under an hour.
Macros
Write complex PromQL queries as abstracted reusable functions and use them as metric names across Alerting, Embedded Grafana, or the CLI.
Scheduled Search
Create periodic searches on telemetry data and set alerts when patterns are found or missing.
Analytics
Get visibility on usage with per-telemetry breakdown, cardinality quotas, and query performance.
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Cardinality Explorer
Identify high cardinality metrics to refactor instrumentation or use Streaming Aggregations to optimize queries. Last9 supports 20M cardinality per metric per day by default.
Slow Query Logs
View queries with a latency of 1s or higher along with which tier was data fetched from and the token used.
Don’t sacrifice {visibility} for cost optimization.
Improve MTTR and team productivity.
With tools like Cardinality Explorer and Streaming Aggregation, remove constraints on your engineering teams.
Know how your data is used and is performing.
Observability on your telemetry data along with a simple pricing model keeps costs predictable & manageable, even at scale.
Your data is there, especially when you need it the most.
Ingestion controls and cost-effective storage with rehydration ensure all, but only, the necessary data is always available to your team.
Using Last9’s high cardinality workflows, we accurately measured customer SLAs across dimensions, extract knowledge about our systems, and measure customer impact proactively.
Ranjeet Walunj
SVP Engineering
{Do more}
with less.
